Triple
T37468386
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tony Hawk's Pro Skater 2 |
E931089
|
entity |
| Predicate | aggregateReviewScore |
P90724
|
FINISHED |
| Object | one of the highest-rated video games of all time |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: one of the highest-rated video games of all time | Statement: [Tony Hawk's Pro Skater 2, aggregateReviewScore, one of the highest-rated video games of all time]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: aggregateReviewScore Context triple: [Tony Hawk's Pro Skater 2, aggregateReviewScore, one of the highest-rated video games of all time]
-
A.
reviewAggregate
chosen
Indicates a summarized evaluation relationship where multiple individual reviews are combined into an overall rating or assessment for an entity.
-
B.
reviewAggregator
Indicates that an entity functions as a collector and summarizer of reviews or ratings about other entities.
-
C.
reviewScale
Indicates the rating system or range (such as 1–5 stars, 0–10, etc.) used to evaluate or score something in a review.
-
D.
ratingContent
Indicates that an entity evaluates or assigns a quality or satisfaction score to some content.
-
E.
reviewNumber
Indicates the numerical identifier or count assigned to a specific review within a set of reviews.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69f76ec2af148190897d101070d7f415 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fb8e3b99288190990f7896a8f17b7b |
completed | May 6, 2026, 6:53 p.m. |
| PD | Predicate disambiguation | batch_69fb8d0c53c08190b64291bac58cdb4c |
completed | May 6, 2026, 6:48 p.m. |
Created at: May 3, 2026, 4:17 p.m.